Switching from scrap.io: your files keep working
The export is a drop-in replacement: the same 64 headers in the same order, the same tab-delimited file. Existing spreadsheets, importers and CRM mappings keep working. What is identical, what is different, and how to check for yourself in ten minutes.
If you are coming from scrap.io, the thing that usually makes a switch expensive is not the tool — it is everything downstream of it. The pivot table someone built two years ago. The Zapier step that reads column 27. The CRM import mapping nobody wants to touch.
So we did not design our own schema. We reproduce theirs.
What is identical
| Property | Ours |
|---|---|
| Column count | 64, the same as theirs |
| Header text | Byte-identical — Main type, Website (root url), Level 1 division, Is closed permanently and the rest |
| Column order | Identical, including the quirks — Longitude before Latitude, and the social columns ordered differently from the All … social columns |
| Delimiter | Tab, in a file named .csv, exactly as theirs is |
| Encoding | UTF-8 with a byte-order mark |
| Line ending | LF |
| Quoting | Only where a field contains a space, tab, quote or newline |
| Empty JSON columns | An empty cell, not [] |
| Value formats | Reviews count as a band, Working hours as the same JSON shape, First seen on as the same long-form date |
| Column-selection names | The same 34 group names in exported_columns |
Which means, concretely: a spreadsheet with formulas pointed at column headers keeps working. A script that reads by index keeps working. A CRM field mapping keeps working. You do not rebuild anything to try us.
Check it yourself before you commit
This takes about ten minutes and costs nothing — the trial is fourteen days and 100 leads, and it takes no credit card.
- Run the same search here that you last ran there — same activity, same city.
- Export it and open both files.
- Diff the header rows. They should be identical, character for character.
- Drop our file into whatever consumes theirs and watch it not break.
Compare the headers first, the rows second
The headers are a contract and they will match. The rows are two different indexes of the physical world read at different times, so they will never match exactly — nor would two exports from the same vendor a month apart. Judge the data on whether it is right, not on whether it is the same.
What is different, honestly
1. You stop paying for access
Every geographic capability is on every plan, including Starter and including the trial: country-wide search, every market we index, all 4,000+ activities, Geo Search at any radius or polygon size, every filter, and all 64 export columns. The tiers differ by volume — 10,000, 50,000, 250,000 or a million lead credits a month — plus seats, rollover, API access, file formats, retention and support.
Pay for volume. Never for access. If you were on a higher tier purely to unlock a country or a search mode, that is not a reason to be on a higher tier here. See the pricing page.
2. Both formats come out of one export
CSV and XLSX are written together, every time, on every plan; JSON from Growth and Parquet from Scale. You pick the format at download time and you can take all of them from the same job at no extra cost — choosing a format.
3. Some enrichment columns are still filling in
This is the honest caveat and you should test it rather than take our word for it. The columns read from the map listing are complete from day one. The columns read from the business's own website — the role-split email set, contact pages, website title and meta, technologies and ad pixels — are being rolled out, and until the crawl reaches your market those cells are written empty rather than guessed. The header is there; the value may not be yet. What each of those columns is for, and the full contract.
Export fifty rows in your own market and count the populated cells. That is a better basis for a decision than any coverage figure we could quote you.
Moving a saved search across
There is no import for saved searches; rebuild them once. It is faster than it sounds because the vocabulary is the same — the same activity names, the same Country → Level 1 → Level 2 → City cascade (how the cascade works), and the same filter concepts (the filters). Rebuild the two or three you actually run weekly and leave the rest.
What we will not claim
We will not tell you our index is bigger, fresher or more accurate than theirs in your market, because we do not know your market and neither of us can prove it in a sentence. What we can prove is that the file is the same shape, that nothing downstream of it breaks, and that trying it costs you nothing and no card details. Everything after that is a question the data answers, not the marketing.
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